iPad mini (5th generation)
Geekbench AI Score
647
Single Precision Score
1062
Half Precision Score
962
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 02 2025 10:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad mini (5th generation) |
| Model ID | iPad11,2 |
| Motherboard | J211AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (HP)
|
100% |
658
122.4 IPS |
|
|
Image Classification (Q)
|
96% |
540
100.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
408
6.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
690
11.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
769
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1148
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1084
1.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
1024
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (HP)
|
99% |
698
55.4 IPS |
|
|
Object Detection (Q)
|
92% |
602
48.1 IPS |
|
|
Face Detection (SP)
|
100% |
916
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1765
21.0 IPS |
|
|
Face Detection (Q)
|
100% |
1168
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
898
6.92 IPS |
|
|
Depth Estimation (HP)
|
98% |
1581
12.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
1376
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2264
2.91 IPS |
|
|
Style Transfer (HP)
|
100% |
3766
4.84 IPS |
|
|
Style Transfer (Q)
|
96% |
3779
4.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
647
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
864
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
745
27.5 IPS |
|
|
Text Classification (SP)
|
100% |
292
390.0 IPS |
|
|
Text Classification (HP)
|
100% |
569
759.7 IPS |
|
|
Text Classification (Q)
|
93% |
565
758.9 IPS |
|
|
Machine Translation (SP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1029
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1039
17.9 IPS |
